Skip to main content

Taking over experimental project

When a enterprise approves the contribution of a experimental project, the better strategy to take it over is allowing the senior developers to reconstruct the core functionality of the project.

Developers for experimental project usually know user requests better than senior developers, and the senior developers know enterprise systems better and are more experienced on building more reliable structures. After revising the core structure and unifying functionality with other existing systems, the project would be returned back to original developers and could be extended for further requests.

Senior developers review the projects regularly and adjust or revise the structure if necessary.
The collaboration of original developers and senior developers ensures the project be built according to user requests, the enterprise owns the core technology and enterprise systems share the same functionality.

Comments

Popular posts from this blog

Guide to Preserving HuggingFace Models in Google Colab Environments

Conclusion:  Step 1:  find the model path: ls ~/.cache  Step 2:  Copy the entire folder to Google Drive:  Step 3:  Set model path to the subfolder under snapshot: My Story: I initially began exploring Generative AI (GAI) and Google Colab through Stable Diffusion. In the past, as I mainly wrote server services and console applications, I was less familiar with data science modes like R and Jupyter that can maintain a paused state. I didn't quite understand the heavy burden on Colab of creating a temporary Stable Diffusion WebUI with .ipynb, as suggested by popular guides. I just found it troublesome that connections often took a long time and then dropped, requiring a restart. Recently, while testing new versions of the Stable Diffusion model, and facing challenges due to Colab's policies making various versions of WebUI difficult to run successfully, I started researching how to write my own test programs in Colab. Eventually, I understood that Colab is ess...

docker: storage and services

Docker Volume Without going through Docker, accessing files within a Docker image is not easy. Therefore, Docker has a volume feature that allows users to specify the location on the host file system to serve as the access directory for Docker. In other words, a volume is the NFS of a Docker image. Example: Using a volume to store SQLite files. ref:  SQLite for NodeJS: https://www.sqlitetutorial.net/sqlite-nodejs/ Initialize the project. # Setup ExpressJS framework express --view=pug 240324_ejs_sqlite_docker npm init npm install express npm install sqlite3 Test: npm start Initialize docker  Since the directory already contains NodeJS, the Docker Daemon will assist in the setup. Create new docker image docker build -t atfuture7/sqlite01 . Create a folder for Docker, create a container, run it.  mkdir docker_vol docker run -p 3000:3000 -v ./docker_vol:/data --name exp_sqlite atfuture7/sqlite01 After confirming that the container can run co...

Bookmark service (MongoDB & Spring REST)

Completed a working version of Bookmark service. Feeling great~~ ha! ha! Finding something to practice is an efficient way of learning. The project concept is redesigned from a MongoDB project. Weeks ago, I was learning MongoDB and NodeJS. Mixing everything together is my hobby. There might be conflictions, but putting all strengths together has higher potential to resolve difficult and complex problems. Elites getting together might sometimes not be easy, I mean technology, of course. Nice things deserve practice.  Building your first application with MongoDB: Creating a REST API using the MEAN Stack https://www.mongodb.com/blog/post/building-your-first-application-mongodb-creating-rest-api-using-mean-stack-part-1   After redesign…… is ….extremely simple…. But contains enough new topics for me to explore. I’m just a starter of Spring (and a veteran of OO and Cloud programming). Keep everything simple and fast.    I applied to cloud services (like AWS), online artist...